Distributed Localization Algorithm Using Hybrid Cuckoo Search with Hill Climbing (CS-HC) Algorithm for Internet of Things
DOI:
https://doi.org/10.61841/sy9qe459Keywords:
Distributed Localization, Computational Complexity, Hybrid Cuckoo Search, Hill Climbing, Internet of Things.Abstract
Currently, Internet of Things (IoT) influenced applications are significant upon deployed sensors accurately. Anyhow, classical optimization problem is induced along NP-hard class of problems to determine the accurate localization of deployed sensors nodes. Thence this proposal work provides distributed localization algorithm using hybrid Cuckoo search with hill climbing (CS-HC) algorithm. In turn it improvises the mechanism of optimisation solution by validating threshold value for IoT. Computational complexity get reduced by locating deployed sensor nodes via CS-HC algorithm as well as increase lifetime of resource constrained IoT sensor nodes. Simulated results predicts that proposed CS-HC algorithm produces significant performance accurately
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